OverviewThis course introduces some key models used in the analysis of spatially-explicit capture-recapture data using Bayesian and classical (likelihood) methods. It closely follows material from the book “Spatial Capture-Recapture” (Elsevier, 2014). The workshop will cover basic model and data analysis concepts in R and the BUGS language (using WinBUGS or JAGS), analysis of classical capture-recapture models (models M0, Mb, Mh, etc…), concepts and methods of spatial capture-recapture models and their analysis using the R package “secr” (M.G. Efford) and also using BUGS.

Who will benefitResearch biologists interested in the analysis of capture-recapture data

This is an intermediate-level workshop with topical lectures followed by work sessions where we analyse data and solve exercises. Course requirements:(1) Good working knowledge of modern regression methods (regression, ANOVA, generalised linear models, random effects).(2) Experience with the R programming language at a level higher than “beginner”. You should be a regular R user. Manipulating data in R should be routine for you.(3) Familiarity with using WinBUGS or JAGS. You should have no problem fitting a basic regression model in WinBUGS.(4) Knowledge of basic capture-recapture concepts and methods. E.g., the Otis et al. monograph, Pollock’s Robust Design, distance sampling.